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Download full textMiller, L. Dee; Soh, Leen-Kiat; Samal, Ashok; Kupzyk, Kevin; Nugent, Gwen – Journal of Educational Data Mining, 2015
Learning objects (LOs) are important online resources for both learners and instructors and usage for LOs is growing. Automatic LO tracking collects large amounts of metadata about individual students as well as data aggregated across courses, learning objects, and other demographic characteristics (e.g. gender). The challenge becomes identifying…
Descriptors: Comparative Analysis, Data Analysis, Hierarchical Linear Modeling, Electronic Learning
Ocak, Gurbuz; Yamac, Ahmet – Educational Sciences: Theory and Practice, 2013
The aim of current study was to examine predictor and explanatory relationships between fifth graders' self-regulated learning strategies, motivational beliefs, attitudes towards mathematics, and academic achievement. The study was conducted on a sample of 204 students studying in the primary schools of Afyonkarahisar province. Motivated…
Descriptors: Metacognition, Grade 5, Elementary School Students, Correlation
Direct linkLawanto, Oenardi; Stewardson, Gary – International Journal of Technology and Design Education, 2013
Inasmuch as design is a central activity in K-12 engineering education, understanding the students' motivation during engaging in engineering design activities will help educators to develop and evaluate strategies for engineering design challenges, and improve curriculum. The objective of this study is to better understand the relationship…
Descriptors: Engineering Education, Questionnaires, Correlation, Predictor Variables
